Retention and graduation percentages for students enrolled in Fall 2013 or earlier are summarized in the following tables.

Note: Population breakdowns are given for first-time full-time students Note: Bar charts and line charts are for all students

Overall Outcomes
N Mean SAT SE SAT % 1 year retention % 6 year graduation Gap 1st Year GPA 1st Year Credits Attempted 1st Year Credits Earned GPA Upon Leaving
88880 1261.308 0.481 0.904 0.529 0.055 2.989 44 42 2.689

Starting Term

Minoritized Students

Minoritized Students Outcomes
Minoritized Students N Mean SAT SE SAT % 1 year retention % 6 year graduation 3 Year Retention Gap 1st Year GPA 1st Year Credits Attempted 1st Year Credits Earned GPA Upon Leaving
No 43169 1248.947 0.662 0.894 0.763 0.040 2.940 41 39 2.739
Yes 3766 1163.954 2.297 0.871 0.680 -0.002 2.666 41 38 2.438
## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  88880 
## 
##  
##              | Gender 
##          URM |    Female |      Male | Row Total | 
## -------------|-----------|-----------|-----------|
##           No |     35465 |     45444 |     80909 | 
##              |     0.438 |     0.562 |     0.910 | 
## -------------|-----------|-----------|-----------|
##          Yes |      3900 |      4071 |      7971 | 
##              |     0.489 |     0.511 |     0.090 | 
## -------------|-----------|-----------|-----------|
## Column Total |     39365 |     49515 |     88880 | 
## -------------|-----------|-----------|-----------|
## 
## 
## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  88880 
## 
##  
##              | First-generation 
##          URM |        No |       Yes | Row Total | 
## -------------|-----------|-----------|-----------|
##           No |     63300 |     17609 |     80909 | 
##              |     0.782 |     0.218 |     0.910 | 
## -------------|-----------|-----------|-----------|
##          Yes |      4975 |      2996 |      7971 | 
##              |     0.624 |     0.376 |     0.090 | 
## -------------|-----------|-----------|-----------|
## Column Total |     68275 |     20605 |     88880 | 
## -------------|-----------|-----------|-----------|
## 
## 

Ethnicity

Ethnicity Outcomes
Ethnicity N Mean SAT SE SAT % 1 year retention % 6 year graduation 3 Year Retention Gap 1st Year GPA 1st Year Credits Attempted 1st Year Credits Earned GPA Upon Leaving
International 7450 1292.867 1.253 0.901 0.783 0.117 3.042 37 35 2.906
White 32162 1237.837 0.773 0.891 0.761 0.025 2.921 41 39 2.699
Asian 2280 1304.521 2.894 0.917 0.746 0.008 2.884 44 41 2.655
Hispanic/Latino 1695 1197.686 3.417 0.882 0.714 0.025 2.753 44 41 2.525
Black or African American 1562 1113.118 3.220 0.866 0.641 -0.033 2.546 39 35 2.354
## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  88880 
## 
##  
##                                           | Gender 
##                                 Ethnicity |    Female |      Male | Row Total | 
## ------------------------------------------|-----------|-----------|-----------|
##                           2 or more races |       989 |      1027 |      2016 | 
##                                           |     0.491 |     0.509 |     0.023 | 
## ------------------------------------------|-----------|-----------|-----------|
##          American Indian or Alaska Native |        91 |        86 |       177 | 
##                                           |     0.514 |     0.486 |     0.002 | 
## ------------------------------------------|-----------|-----------|-----------|
##                                     Asian |      2174 |      3522 |      5696 | 
##                                           |     0.382 |     0.618 |     0.064 | 
## ------------------------------------------|-----------|-----------|-----------|
##                 Black or African American |      1427 |      1390 |      2817 | 
##                                           |     0.507 |     0.493 |     0.032 | 
## ------------------------------------------|-----------|-----------|-----------|
##                           Hispanic/Latino |      1820 |      2076 |      3896 | 
##                                           |     0.467 |     0.533 |     0.044 | 
## ------------------------------------------|-----------|-----------|-----------|
##                             International |      4821 |      8805 |     13626 | 
##                                           |     0.354 |     0.646 |     0.153 | 
## ------------------------------------------|-----------|-----------|-----------|
## Native Hawaiian or Other Pacific Islander |        28 |        31 |        59 | 
##                                           |     0.475 |     0.525 |     0.001 | 
## ------------------------------------------|-----------|-----------|-----------|
##                                   Unknown |       772 |      1086 |      1858 | 
##                                           |     0.416 |     0.584 |     0.021 | 
## ------------------------------------------|-----------|-----------|-----------|
##                                     White |     27243 |     31492 |     58735 | 
##                                           |     0.464 |     0.536 |     0.661 | 
## ------------------------------------------|-----------|-----------|-----------|
##                              Column Total |     39365 |     49515 |     88880 | 
## ------------------------------------------|-----------|-----------|-----------|
## 
## 
## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  88880 
## 
##  
##                                           | First-generation 
##                                 Ethnicity |        No |       Yes | Row Total | 
## ------------------------------------------|-----------|-----------|-----------|
##                           2 or more races |      1501 |       515 |      2016 | 
##                                           |     0.745 |     0.255 |     0.023 | 
## ------------------------------------------|-----------|-----------|-----------|
##          American Indian or Alaska Native |       132 |        45 |       177 | 
##                                           |     0.746 |     0.254 |     0.002 | 
## ------------------------------------------|-----------|-----------|-----------|
##                                     Asian |      4674 |      1022 |      5696 | 
##                                           |     0.821 |     0.179 |     0.064 | 
## ------------------------------------------|-----------|-----------|-----------|
##                 Black or African American |      1784 |      1033 |      2817 | 
##                                           |     0.633 |     0.367 |     0.032 | 
## ------------------------------------------|-----------|-----------|-----------|
##                           Hispanic/Latino |      2366 |      1530 |      3896 | 
##                                           |     0.607 |     0.393 |     0.044 | 
## ------------------------------------------|-----------|-----------|-----------|
##                             International |     11247 |      2379 |     13626 | 
##                                           |     0.825 |     0.175 |     0.153 | 
## ------------------------------------------|-----------|-----------|-----------|
## Native Hawaiian or Other Pacific Islander |        42 |        17 |        59 | 
##                                           |     0.712 |     0.288 |     0.001 | 
## ------------------------------------------|-----------|-----------|-----------|
##                                   Unknown |      1546 |       312 |      1858 | 
##                                           |     0.832 |     0.168 |     0.021 | 
## ------------------------------------------|-----------|-----------|-----------|
##                                     White |     44983 |     13752 |     58735 | 
##                                           |     0.766 |     0.234 |     0.661 | 
## ------------------------------------------|-----------|-----------|-----------|
##                              Column Total |     68275 |     20605 |     88880 | 
## ------------------------------------------|-----------|-----------|-----------|
## 
## 

First-Generation

First-Generation Outcomes
First-Generation N Mean SAT SE SAT % 1 year retention % 6 year graduation 3 Year Retention Gap 1st Year GPA 1st Year Credits Attempted 1st Year Credits Earned GPA Upon Leaving
No 35922 1256.740 0.734 0.900 0.777 0.045 2.961 41 39 2.766
Yes 11013 1194.366 1.257 0.866 0.689 0.009 2.775 39 36 2.550
## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  88880 
## 
##  
##                  | Gender 
## First-generation |    Female |      Male | Row Total | 
## -----------------|-----------|-----------|-----------|
##               No |     29254 |     39021 |     68275 | 
##                  |     0.428 |     0.572 |     0.768 | 
## -----------------|-----------|-----------|-----------|
##              Yes |     10111 |     10494 |     20605 | 
##                  |     0.491 |     0.509 |     0.232 | 
## -----------------|-----------|-----------|-----------|
##     Column Total |     39365 |     49515 |     88880 | 
## -----------------|-----------|-----------|-----------|
## 
## 

Gender

Gender Outcomes
Gender N Mean SAT SE SAT % 1 year retention % 6 year graduation 3 Year Retention Gap 1st Year GPA 1st Year Credits Attempted 1st Year Credits Earned GPA Upon Leaving
Female 20862 1213.401 0.940 0.883 0.771 0.058 3.002 41 39 2.833
Male 26073 1263.863 0.862 0.899 0.745 0.019 2.850 41 38 2.626

Transfer Students

Transfer Student Outcomes
Transfer N Mean SAT SE SAT % 1 year retention % 6 year graduation 3 Year Retention Gap 1st Year GPA 1st Year Credits Attempted 1st Year Credits Earned GPA Upon Leaving
No 40402 1249.405 0.677 0.909 0.774 -0.015 2.931 39 37 2.699
Yes 6533 1147.763 1.872 0.783 0.648 0.356 2.828 73 69 2.771
## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  88880 
## 
##  
##              | Gender 
##     Transfer |    Female |      Male | Row Total | 
## -------------|-----------|-----------|-----------|
##           No |     33647 |     43988 |     77635 | 
##              |     0.433 |     0.567 |     0.873 | 
## -------------|-----------|-----------|-----------|
##          Yes |      5718 |      5527 |     11245 | 
##              |     0.508 |     0.492 |     0.127 | 
## -------------|-----------|-----------|-----------|
## Column Total |     39365 |     49515 |     88880 | 
## -------------|-----------|-----------|-----------|
## 
## 
## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  88880 
## 
##  
##              | URM 
##     Transfer |        No |       Yes | Row Total | 
## -------------|-----------|-----------|-----------|
##           No |     70695 |      6940 |     77635 | 
##              |     0.911 |     0.089 |     0.873 | 
## -------------|-----------|-----------|-----------|
##          Yes |     10214 |      1031 |     11245 | 
##              |     0.908 |     0.092 |     0.127 | 
## -------------|-----------|-----------|-----------|
## Column Total |     80909 |      7971 |     88880 | 
## -------------|-----------|-----------|-----------|
## 
## 
## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  88880 
## 
##  
##              | First Generation 
##     Transfer |        No |       Yes | Row Total | 
## -------------|-----------|-----------|-----------|
##           No |     60027 |     17608 |     77635 | 
##              |     0.773 |     0.227 |     0.873 | 
## -------------|-----------|-----------|-----------|
##          Yes |      8248 |      2997 |     11245 | 
##              |     0.733 |     0.267 |     0.127 | 
## -------------|-----------|-----------|-----------|
## Column Total |     68275 |     20605 |     88880 | 
## -------------|-----------|-----------|-----------|
## 
## 

Regression Analyses

## 
## Call:
## lm(formula = one_year_overall_gpa.z ~ SAT_new.z, data = students_complete_ethnicity)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -4.5774 -0.4550  0.1621  0.6710  2.1255 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 0.003748   0.003526   1.063    0.288    
## SAT_new.z   0.303434   0.003524  86.110   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9288 on 69384 degrees of freedom
##   (15384 observations deleted due to missingness)
## Multiple R-squared:  0.09655,    Adjusted R-squared:  0.09654 
## F-statistic:  7415 on 1 and 69384 DF,  p-value: < 2.2e-16
## 
## Call:
## lm(formula = one_year_overall_gpa.z ~ SAT_new.z + ethnicity.f, 
##     data = students_complete_ethnicity)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -4.5961 -0.4536  0.1610  0.6677  2.0990 
## 
## Coefficients:
##                                       Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                          -0.117745   0.013568  -8.678  < 2e-16 ***
## SAT_new.z                             0.301534   0.003645  82.731  < 2e-16 ***
## ethnicity.fAsian                      0.144269   0.014191  10.167  < 2e-16 ***
## ethnicity.fBlack or African American  0.140296   0.017270   8.124  4.6e-16 ***
## ethnicity.fHispanic/Latino            0.016604   0.021460   0.774    0.439    
## ethnicity.fInternational             -0.047340   0.023829  -1.987    0.047 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9273 on 69380 degrees of freedom
##   (15384 observations deleted due to missingness)
## Multiple R-squared:  0.09961,    Adjusted R-squared:  0.09954 
## F-statistic:  1535 on 5 and 69380 DF,  p-value: < 2.2e-16
## 
## Call:
## lm(formula = one_year_overall_gpa.z ~ SAT_new.z + ethnicity.f + 
##     factor(profile_gender_desc), data = students_complete_ethnicity)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -4.7158 -0.4451  0.1610  0.6522  2.2465 
## 
## Coefficients:
##                                       Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                           0.056708   0.013999   4.051 5.11e-05 ***
## SAT_new.z                             0.329496   0.003656  90.116  < 2e-16 ***
## ethnicity.fAsian                      0.137724   0.014008   9.832  < 2e-16 ***
## ethnicity.fBlack or African American  0.167015   0.017058   9.791  < 2e-16 ***
## ethnicity.fHispanic/Latino            0.014808   0.021182   0.699   0.4845    
## ethnicity.fInternational             -0.046445   0.023521  -1.975   0.0483 *  
## factor(profile_gender_desc)TRUE      -0.306335   0.007155 -42.816  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9153 on 69379 degrees of freedom
##   (15384 observations deleted due to missingness)
## Multiple R-squared:  0.1228, Adjusted R-squared:  0.1227 
## F-statistic:  1619 on 6 and 69379 DF,  p-value: < 2.2e-16
## 
## Call:
## glm(formula = one_year_retention_flag ~ ethnicity.f, family = binomial(link = "logit"), 
##     data = students_complete_ethnicity)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.3236   0.4144   0.4552   0.4552   0.5143  
## 
## Coefficients:
##                                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                           2.62988    0.05291  49.707  < 2e-16 ***
## ethnicity.fAsian                     -0.41503    0.05469  -7.589 3.23e-14 ***
## ethnicity.fBlack or African American -0.21797    0.06141  -3.549 0.000386 ***
## ethnicity.fHispanic/Latino           -0.58660    0.07298  -8.038 9.16e-16 ***
## ethnicity.fInternational             -0.67379    0.07791  -8.648  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 53354  on 84769  degrees of freedom
## Residual deviance: 53221  on 84765  degrees of freedom
## AIC: 53231
## 
## Number of Fisher Scoring iterations: 5
## 
## Call:
## glm(formula = one_year_retention_flag ~ SAT_new.z, family = binomial(link = "logit"), 
##     data = students_complete_ethnicity)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.5962   0.3397   0.3920   0.4517   0.8600  
## 
## Coefficients:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  2.44652    0.01435  170.44   <2e-16 ***
## SAT_new.z    0.38553    0.01359   28.37   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 40507  on 70012  degrees of freedom
## Residual deviance: 39694  on 70011  degrees of freedom
##   (14757 observations deleted due to missingness)
## AIC: 39698
## 
## Number of Fisher Scoring iterations: 5
## 
## Call:
## glm(formula = one_year_retention_flag ~ SAT_new.z + ethnicity.f, 
##     family = binomial(link = "logit"), data = students_complete_ethnicity)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.6338   0.3331   0.3924   0.4557   0.8785  
## 
## Coefficients:
##                                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                           2.55554    0.05980  42.733  < 2e-16 ***
## SAT_new.z                             0.37318    0.01408  26.502  < 2e-16 ***
## ethnicity.fAsian                     -0.13459    0.06226  -2.162  0.03064 *  
## ethnicity.fBlack or African American  0.07318    0.07668   0.954  0.33989    
## ethnicity.fHispanic/Latino           -0.26489    0.08389  -3.158  0.00159 ** 
## ethnicity.fInternational             -0.06712    0.09120  -0.736  0.46179    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 40507  on 70012  degrees of freedom
## Residual deviance: 39666  on 70007  degrees of freedom
##   (14757 observations deleted due to missingness)
## AIC: 39678
## 
## Number of Fisher Scoring iterations: 5
## 
## Call:
## glm(formula = one_year_retention_flag ~ SAT_new.z + ethnicity.f + 
##     factor(profile_gender_desc), family = binomial(link = "logit"), 
##     data = students_complete_ethnicity)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.6782   0.3346   0.3921   0.4576   0.9194  
## 
## Coefficients:
##                                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                           2.63849    0.06216  42.446  < 2e-16 ***
## SAT_new.z                             0.38522    0.01427  26.992  < 2e-16 ***
## ethnicity.fAsian                     -0.13879    0.06227  -2.229  0.02583 *  
## ethnicity.fBlack or African American  0.08585    0.07673   1.119  0.26321    
## ethnicity.fHispanic/Latino           -0.26788    0.08390  -3.193  0.00141 ** 
## ethnicity.fInternational             -0.06548    0.09126  -0.718  0.47306    
## factor(profile_gender_desc)TRUE      -0.14096    0.02810  -5.017 5.25e-07 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 40507  on 70012  degrees of freedom
## Residual deviance: 39641  on 70006  degrees of freedom
##   (14757 observations deleted due to missingness)
## AIC: 39655
## 
## Number of Fisher Scoring iterations: 5
## 
## Call:
## glm(formula = six_year_graduation_flag ~ ethnicity.f, family = binomial(link = "logit"), 
##     data = students_complete_ethnicity_1)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -1.7487   0.6990   0.7405   0.7405   0.9430  
## 
## Coefficients:
##                                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                           1.07376    0.04793  22.402  < 2e-16 ***
## ethnicity.fAsian                      0.08000    0.04967   1.611 0.107256    
## ethnicity.fBlack or African American  0.21090    0.05548   3.801 0.000144 ***
## ethnicity.fHispanic/Latino           -0.17013    0.07175  -2.371 0.017729 *  
## ethnicity.fInternational             -0.49387    0.07112  -6.944 3.81e-12 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 50350  on 45429  degrees of freedom
## Residual deviance: 50194  on 45425  degrees of freedom
## AIC: 50204
## 
## Number of Fisher Scoring iterations: 4
## 
## Call:
## glm(formula = six_year_graduation_flag ~ SAT_new.z, family = binomial(link = "logit"), 
##     data = students_complete_ethnicity_1)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.0136   0.5673   0.6748   0.7572   1.1108  
## 
## Coefficients:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  1.26337    0.01247  101.28   <2e-16 ***
## SAT_new.z    0.28762    0.01236   23.27   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 42965  on 39757  degrees of freedom
## Residual deviance: 42414  on 39756  degrees of freedom
##   (5672 observations deleted due to missingness)
## AIC: 42418
## 
## Number of Fisher Scoring iterations: 4
## 
## Call:
## glm(formula = six_year_graduation_flag ~ SAT_new.z + ethnicity.f, 
##     family = binomial(link = "logit"), data = students_complete_ethnicity_1)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.0217   0.5610   0.6692   0.7490   1.2418  
## 
## Coefficients:
##                                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                           1.03722    0.05010  20.702  < 2e-16 ***
## SAT_new.z                             0.27702    0.01278  21.677  < 2e-16 ***
## ethnicity.fAsian                      0.26787    0.05228   5.124 2.99e-07 ***
## ethnicity.fBlack or African American  0.24401    0.06340   3.849 0.000119 ***
## ethnicity.fHispanic/Latino            0.02827    0.07576   0.373 0.708979    
## ethnicity.fInternational             -0.12347    0.07629  -1.618 0.105572    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 42965  on 39757  degrees of freedom
## Residual deviance: 42335  on 39752  degrees of freedom
##   (5672 observations deleted due to missingness)
## AIC: 42347
## 
## Number of Fisher Scoring iterations: 4
## 
## Call:
## glm(formula = six_year_graduation_flag ~ SAT_new.z + ethnicity.f + 
##     factor(profile_gender_desc), family = binomial(link = "logit"), 
##     data = students_complete_ethnicity_1)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.1376   0.5339   0.6630   0.7529   1.3557  
## 
## Coefficients:
##                                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                           1.25778    0.05274  23.849  < 2e-16 ***
## SAT_new.z                             0.30797    0.01299  23.701  < 2e-16 ***
## ethnicity.fAsian                      0.25278    0.05243   4.821 1.43e-06 ***
## ethnicity.fBlack or African American  0.27189    0.06361   4.275 1.91e-05 ***
## ethnicity.fHispanic/Latino            0.01910    0.07596   0.251   0.8015    
## ethnicity.fInternational             -0.12992    0.07659  -1.696   0.0898 .  
## factor(profile_gender_desc)TRUE      -0.35500    0.02500 -14.202  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 42965  on 39757  degrees of freedom
## Residual deviance: 42131  on 39751  degrees of freedom
##   (5672 observations deleted due to missingness)
## AIC: 42145
## 
## Number of Fisher Scoring iterations: 4

Math 161

Math 162

Additional exploration

Based on the major finding that first-generation students are decreasing in numbers, I compared enrollment for first-generation and non-first-generation students. It seems that first-generation enrollment is stable but increasing enrollment means they are less represented

You can also see this trend with the line chart where enrollment for non-first-generation students has greatly increased while first-generation enrollment has not changed much

International students have a large jump in retention and graduation between 2008 and 2010. Looking at population, there is slight increase in international students between 2008 and 2010. For international students who took the SAT, scores did not change much between 2008 and 2010.

In terms of program enrollment, there were big increases in engineering, science, and management for international students.

Enrollment in the college of engineering has greatly increased over time while enrollment in liberal arts has dramatically decreased. Considering gender, there is a large increase in enrollment in health and human sciences and large decrease in liberal arts. Engineering and science have had small increases, but much larger for men. Men have also increased enrollment in polytechnic.

SAT scores have been increasing over time, especially for engineering and science, and to a lesser extent in polytechnic.

## Warning: Removed 4 rows containing missing values (geom_point).

## Warning: Removed 4 rows containing missing values (geom_point).

One year retention differences between women and men are not very large, but the gap increases for six year graduation with women outperforming men.

students %>% 
  filter(Term != "Spring", 
         profile_reporting_ethnicity %in% c("White","Asian","Black or African American","International","Hispanic/Latino")) %>% 
  group_by(academic_school_grouping_desc, Year, profile_gender_desc) %>% 
  summarise(one_year_rentetion = mean(one_year_retention_flag, na.rm = TRUE)) %>% 
  ggplot() +
  geom_point(aes(x = Year, y = one_year_rentetion, group = profile_gender_desc, color = profile_gender_desc)) +
  geom_line(aes(x = Year, y = one_year_rentetion, group = profile_gender_desc, color = profile_gender_desc)) +
  theme(axis.text.x=element_text(angle=90, hjust=1)) +
  facet_grid(. ~ academic_school_grouping_desc)

students %>% 
  filter(Term != "Spring", 
         profile_reporting_ethnicity %in% c("White","Asian","Black or African American","International","Hispanic/Latino"),
         profile_academic_period <= 201410) %>% 
  group_by(academic_school_grouping_desc, Year, profile_gender_desc) %>% 
  summarise(six_year_graduation = mean(six_year_graduation_flag, na.rm = TRUE)) %>% 
  ggplot() +
  geom_point(aes(x = Year, y = six_year_graduation, group = profile_gender_desc, color = profile_gender_desc)) +
  geom_line(aes(x = Year, y = six_year_graduation, group = profile_gender_desc, color = profile_gender_desc)) +
  theme(axis.text.x=element_text(angle=90, hjust=1)) +
  facet_grid(. ~ academic_school_grouping_desc)

students %>% 
  filter(Term != "Spring", 
         profile_reporting_ethnicity %in% c("White","Asian","Black or African American","International","Hispanic/Latino")) %>% 
  group_by(academic_school_grouping_desc, Year, profile_reporting_ethnicity) %>% 
  summarise(one_year_rentetion = mean(one_year_retention_flag, na.rm = TRUE)) %>% 
  ggplot() +
  geom_point(aes(x = Year, y = one_year_rentetion, group = profile_reporting_ethnicity, color = profile_reporting_ethnicity)) +
  geom_line(aes(x = Year, y = one_year_rentetion, group = profile_reporting_ethnicity, color = profile_reporting_ethnicity)) +
  theme(axis.text.x=element_text(angle=90, hjust=1)) +
  facet_grid(.~academic_school_grouping_desc)

students %>% 
  filter(Term != "Spring", 
         profile_reporting_ethnicity %in% c("White","Asian","Black or African American","International","Hispanic/Latino"),
         profile_academic_period <= 201410) %>% 
  group_by(academic_school_grouping_desc, Year, profile_reporting_ethnicity) %>% 
  summarise(six_year_graduation = mean(six_year_graduation_flag, na.rm = TRUE)) %>% 
  ggplot() +
  geom_point(aes(x = Year, y = six_year_graduation, group = profile_reporting_ethnicity, color = profile_reporting_ethnicity)) +
  geom_line(aes(x = Year, y = six_year_graduation, group = profile_reporting_ethnicity, color = profile_reporting_ethnicity)) +
  theme(axis.text.x=element_text(angle=90, hjust=1)) +
  facet_grid(.~academic_school_grouping_desc)